SUMMARY
Theories of regression analysis play an important role in safety traffic applications. The purpose of this paper is to develop a methodology capable of fitting the yearly number of incidences based on annual traffic accidents in Kuwait. More specifically, a cubic regression model was specified to fit the annual traffic incidents in Kuwait during the period 2002-2017. Estimation results using the maximum likelihood estimation and the goodness of fit using the sample autocorrelation function clearly demonstrated the appropriateness of the estimated cubic regression model.